Electronics come alive with hands-on activities for kids ages 5 to 10

The world of electrical engineering is packed with awesome ways for kids to learn and play! Filled with glowing, buzzing, and spinning fun, this guide to electronics for kids helps them fall in love with science as they explore the mechanics behind everyday devices.

Whether it's a light-up birthday card, an automated bubble blower, or an alarm clock, every project features easy-to-find components and simple directions that give kids the guidance they need to build. Expand their learning with explanations of how these electronics for kids connect to larger STEAM ideas!

This collection of buildable electronics for kids features:

• 20 fun builds--Introduce the science behind electronics for kids through projects that they can do at home with affordable materials--and a little adult supervision.
• Educational explanations--Go beyond other electronics books thanks to simple breakdowns of exactly what happened and why, ensuring kids get the most out of each activity.
• Progressive difficulty--Discover electronics for kids that start simple and get more challenging as they go, helping young learners grow their skills without getting frustrated.

Inspire a lifelong love of science (plus technology, engineering, art, and math) with the super fun activities in Awesome Electronics Projects for Kids.

Improving Equity in Data Science offers a comprehensive look at the ways in which data science can be conceptualized and engaged more equitably within the K-16 classroom setting, moving beyond merely broadening participation in educational opportunities. This book makes the case for field wide definitions, literacies and practices for data science teaching and learning that can be commonly discussed and used, and provides examples from research of these practices and literacies in action.

Authors share stories and examples of research wherein data science advances equity and empowerment through the critical examination of social, educational, and political topics. In the first half of the book, readers will learn how data science can deliberately be embedded within K-12 spaces to empower students to use it to identify and address inequity. The latter half will focus on equity of access to data science learning opportunities in higher education, with a final synthesis of lessons learned and presentation of a 360-degree framework that links access, curriculum, and pedagogy as multiple facets collectively essential to comprehensive data science equity work.

Practitioners and teacher educators will be able to answer the question, how can data science serve to move equity efforts in computing beyond basic inclusion to empowerment? whether the goal is to simply improve definitions and approaches to research on data science or support teachers of data science in creating more equitable and inclusive environments within their classrooms.

This book offers a comprehensive look at the ways in which data science can be conceptualized and engaged more equitably within the K-16 classroom setting, moving beyond merely broadening participation in educational opportunities.